IJBTT

Cloud Migration Strategies for Mainframe Modernization: A Comparative Study of AWS, Azure, and GCP
	© 2024 by IJCTT Journal
	Volume-72 Issue-10
	Year of Publication : 2024
	Authors : Vasanthi Govindaraj
	DOI :  10.14445/22312803/IJCTT-V72I10P110

How to Cite?

Vasanthi Govindaraj, "Cloud Migration Strategies for Mainframe Modernization: A Comparative Study of AWS, Azure, and GCP," International Journal of Computer Trends and Technology, vol. 72, no. 10, pp. 57-65, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I10P110

Abstract
Mainframe systems have a track record of reliability, but they need help in today’s fast-changing business world. These include high upkeep expenses and limited room for growth. This paper looks at three top cloud platforms—Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)—to update old mainframe programs. We compare them in detail, looking at what each does best. AWS has a wide range of tools to move data. Azure works well with cloud and on-site systems and fits into company setups. GCP leads in AI and machine learning. Azure is the top option for updating mainframes, offering compatibility with various cloud configurations, integration with current company infrastructure, and sophisticated data analysis driven by AI. These conclusions provide valuable information for companies transitioning mainframe systems to the cloud, enabling expansion, reduced expenses, and future-ready IT systems.

Keywords
AI in Mainframe Modernization, AWS vs Azure vs GCP for Mainframe, Hybrid Cloud Integration, Cloud-Based Mainframe Solutions, Cloud Migration Strategies, Legacy System Migration, Mainframe Modernization.

Reference

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